基于不确定性行为图的数字孪生机车调度系统异常挖掘  

Abnormality Mining of Digital Twin Locomotive Dispatching System Based on Uncertainty Behavior Graph

作　　者：贺绍山 邓文丽 方欢 He Shaoshan;Deng Wenli;Fang Huan(CHN Energy Xinjiang Kuangou Mining Co.,Ltd.,Changji 831200,China;College of Mathematics and Big Data,Anhui University of Science and Technology,Huainan 232001,China;Anhui Province Engineering Laboratory for Big Data Analysis and Early Warning Technology of Coal Mine Safety,Huainan 232001,China)

机构地区：[1]国能新疆宽沟矿业有限公司,新疆昌吉831200 [2]安徽理工大学数学与大数据学院,安徽淮南232001 [3]安徽省煤矿安全大数据分析与预警技术工程实验室,安徽淮南232001

出　　处：《煤矿机械》2024年第7期210-213,共4页Coal Mine Machinery

基　　金：国家自然科学基金项目(61902002)。

摘　　要：为了准确识别井下机车调度系统的异常日志,以含有不确定的时间戳属性的机车调度日志为分析对象,将不确定的时间戳设置模糊区间,并在此基础上构建行为图。通过行为图分析日志中出现的路径异常,定位日志中异常迹,同时分析机车可能产生不确定性路径的原因。In order to more accurately mine abnormal logs of the underground locomotive dispatching system,taking the locomotive scheduling logs with uncertain timestamp attributes as the analysis object,the uncertain timestamps were set as fuzzy intervals,and based on this,a behavior graph was constructed.Through the behavior graph,analyzed the path abnormality in the log,located the abnormal traces in the log,and analyzed the reasons for the locomotives possibly generating paths of uncertainty.

关 键 词：异常 过程挖掘 不确定性 行为图 机车调度 

分 类 号：TD76[矿业工程—矿井通风与安全]